Triple
T12013998
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wilson College |
E285976
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object |
Sarah Wilson
Sarah Wilson is the namesake of Wilson College, historically recognized for her significance to the institution’s founding or early development.
|
E988013
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Sarah Wilson | Statement: [Wilson College, namedAfter, Sarah Wilson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sarah Wilson Context triple: [Wilson College, namedAfter, Sarah Wilson]
-
A.
Elizabeth Wilson
Elizabeth Wilson was an American actress known for her versatile character roles on stage, film, and television, including performances in "The Graduate" and "9 to 5."
-
B.
Susanna Wilson
Susanna Wilson is the daughter of Frances Perkins, the first female U.S. Secretary of Labor and a key architect of New Deal labor reforms.
-
C.
Anna Wilson
Anna Wilson is known as the sister of former child actress and writer Mara Wilson.
-
D.
Liz Wilson
Liz Wilson is a veterinarian and Jon Arbuckle’s love interest in the Garfield franchise, including the live-action film "Garfield: The Movie."
-
E.
Sarah Winston
Sarah Winston was a colonial American woman best known as the mother of Founding Father and second U.S. President John Adams.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Sarah Wilson Triple: [Wilson College, namedAfter, Sarah Wilson]
Generated description
Sarah Wilson is the namesake of Wilson College, historically recognized for her significance to the institution’s founding or early development.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sarah Wilson Target entity description: Sarah Wilson is the namesake of Wilson College, historically recognized for her significance to the institution’s founding or early development.
-
A.
Elizabeth Wilson
Elizabeth Wilson was an American actress known for her versatile character roles on stage, film, and television, including performances in "The Graduate" and "9 to 5."
-
B.
Susanna Wilson
Susanna Wilson is the daughter of Frances Perkins, the first female U.S. Secretary of Labor and a key architect of New Deal labor reforms.
-
C.
Anna Wilson
Anna Wilson is known as the sister of former child actress and writer Mara Wilson.
-
D.
Liz Wilson
Liz Wilson is a veterinarian and Jon Arbuckle’s love interest in the Garfield franchise, including the live-action film "Garfield: The Movie."
-
E.
Sarah Winston
Sarah Winston was a colonial American woman best known as the mother of Founding Father and second U.S. President John Adams.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d6ab45a368819084fce08bf0dc3705 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d903d884488190b4450a98088208ef |
completed | April 10, 2026, 2:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f64b8062f88190bdb644a8e0b1ac5f |
completed | May 2, 2026, 7:07 p.m. |
| NEDg | Description generation | batch_69f64c535c9881908e5bf07d13fa73c5 |
completed | May 2, 2026, 7:11 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6508afef08190ac7a19b1ee90141e |
completed | May 2, 2026, 7:29 p.m. |
Created at: April 8, 2026, 9:46 p.m.